Speech Emotion Recognition (SER) through Machine Learning
Keywords:
Inception Net, IEMOCAP, Machine Learning.Abstract
Emotion recognition is the part of speech recognition that is gaining more popularity and the need for it increases enormously. Although there are methods to recognize emotion using machine learning techniques, this project attempts to use deep learning and image classification method to recognize emotion and classify the emotion according to the speech signals. Various datasets are investigated and explored for training emotion recognition models are explained in this project some of the issues on the database and existing methodologies are addressed in the project. Inception Net is used for emotion recognition with the project. Inception Net is used for emotion recognition with Interactive Emotional Dyadic Motion Capture (IEMOCAP) datasets.
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